Optimization and Comparative Analysis of Machining Performance of Al–Cu–SiC–GNP Composite: Influence of Reinforcement Variations Using Machine Learning, RSM, and ANOVA Validation
Advanced Engineering Materials,
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 14, 2025
This
study
aims
to
optimize
and
analyze
the
machinability
of
Al–Cu–SiC–GNP
composites
using
advanced
techniques
such
as
machine
learning,
(RSM),
(ANOVA).
The
are
fabricated
an
ex
situ
stir
casting
process
with
varying
reinforcement
percentages
silicon
carbide
(SiC)
graphene
nanoplatelets
(GNP)
(2,
3,
5%),
their
is
evaluated
during
water
jet
machining.
key
parameters
analyzed
material
removal
rate,
surface
roughness
(
R
a
),
kerf
width.
Experimental
findings
reveal
that
significantly
influence
machinability.
Optimal
results
achieved
5%
SiC,
3%
GNP,
300
MPa,
120
mm
min
−1
,
balancing
enhanced
mechanical
properties
efficient
ML
models,
including
decision
tree,
random
forest,
support
vector
machine,
artificial
neural
network
(ANN),
applied
predict
machining
outcomes.
Among
these,
ANN
model
exhibits
highest
predictive
accuracy,
capturing
complex
nonlinear
interactions
between
input
parameters.
also
validates
through
RSM
ANOVA,
confirming
statistical
significance
on
research
provides
robust
framework
for
optimizing
hybrid
composite
offers
valuable
insights
into
relationship
content,
parameters,
performance
outcomes,
making
it
highly
applicable
aerospace
automotive.
Язык: Английский
Investigating drilling characteristics of stir-squeeze cast Al6082 composites reinforced with MWCNTs
Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science,
Год журнала:
2024,
Номер
unknown
Опубликована: Июнь 13, 2024
Objective
of
current
study
is
to
examine
the
machining
characteristics
Al6082
composites
embedded
with
multi-walled
carbon
nanotubes
(MWCNTs).
Herein,
chemical
vapor
deposition
(CVD)
technique
was
used
develop
MWCNTs.
Stir-squeeze
casting
method
0.3
wt.%−1.2
wt.%
MWCNTs/Al6082
composites.
Morphology
MWCNTs
analyzed
by
field
emission
scanning
electron
microscopy
(FESEM).
FESEM
analysis
performed
for
as-cast
nanocomposites
which
showed
uniform
spreading
up
0.9
and
beyond
that
clusters
were
observed.
Hardness
tensile
strength
also
measured
observe
impact
addition
reinforced
highest
hardness
strength.
It
important
drilling
as
CNT
in
tube
form
may
become
constraint
if
they
are
not
uniformly
distributed
obstruct
tool
movement.
CNC
electric
discharge
(EDM)
milling
machine
perform
operation
on
varying
cutting
parameters.
noticed
inclusion
enhanced
material
removal
rate
(MRR)
surface
finish
owing
brittleness.
Strong
interfacial
bonding
between
matrix
reduced
delamination
during
operation.
Язык: Английский